15 search results - page 2 / 3 » Weak Hypotheses and Boosting for Generic Object Detection an... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Combining advantages of shape and appearance features, we propose a novel model that integrates these two complementary features into a common framework for object categorization ...
ICCV
2005
IEEE
13 years 11 months ago
2005
IEEE
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Cascades of boosted ensembles have become popular in the object detection community following their highly successful introduction in the face detector of Viola and Jones [1]. In t...
ICCV
2005
IEEE
14 years 7 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...